- Jordyn Tyson has an extremely high target rate: The Arizona State wide receiver has been targeted on 47.5% of the Sun Devils’ aimed passes, including 58.8% of their first-read targets and 100% of their end-zone targets.
- Adam Randall is a rare every-down running back: Clemson’s lead runner has played 82.1% of his team’s offensive snaps, which is the most for a Power-4 running back.
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Estimated Reading Time: 10 minutes
This interactive tool brings together football snap counts, dropbacks, carries, targets per route run, alignment (slot/wide/tight/backfield) data, average target depth, time to throw, situational splits (red zone, third down, garbage time), fantasy production and defense faced — all in one place. It’s built for fantasy football, DFS, betting props and matchup research across both NFL and college football.
Unlike static tables, everything here is click-to-sort and filterable. Sticky headers, compact layouts and column definitions (tap the column name) make it easy to answer questions like:
- Which running back led in early-down snaps and attempts?
- Which wide receiver ran the most true routes and earned the highest targets per route?
- How did a quarterback’s average depth of target and time to throw change week to week?
- What coverages did a team face, and who produced against single coverage?
What you can learn here
- Participation and role: snap counts by situation (early/late downs, two-minute drill, short yardage, goal line, garbage time).
- With the ball: carries, targets, true routes and dropbacks, plus rates like targets per true route.
- Receiver and quarterback details: alignment, motion, average depth of target, time to throw, first-read and checkdown usage.
- Production: rushing/receiving efficiency, explosive plays, touchdown-to-interception rates and fantasy points.
- Defense faced: man versus zone, press, disguised coverage, double coverage and help coverage.
Whether you’re setting waiver priorities, building DFS lineups or scouting opponents, this football snap counts and usage hub gives you the context that box scores miss — and fast. Dive in and click a few headers, and you’ll see why this can become a go-to workflow for analysts and fantasy players alike.
